Data Scientist
Invisible Technologies
AWSCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSpark
Data Science Associate Director
Amgen
full-time
Posted on:
Location: California, Illinois • 🇺🇸 United States
Visit company websiteSalary
💰 $182,167 - $219,985 per year
Job Level
Senior
Tech Stack
AzureCloudPythonSQLTableau
About the role
- Lead and mentor BI Engineering Leads and their teams based in Portugal and India, fostering a culture of engineering excellence, accountability, and inclusion
- Drive team performance using well-defined KPIs, SLAs, and delivery standards aligned to enterprise goals
- Ensure seamless collaboration between global engineering teams and US-based business stakeholders
- Oversee the design, development, and maintenance of scalable and secure BI solutions across multiple business domains
- Implement modern development operations, including version control, automated testing, CI/CD pipelines, and monitoring for BI assets
- Collaborate with teams to embed machine learning and AI-generated insights into dashboards and reporting workflows
- Champion the adoption of emerging technologies (e.g., generative AI, LLMs, vector databases, natural language querying) to improve data access, storytelling, and user experience
- Stay current with innovation trends in analytics and integrate applicable tools and frameworks into the BI ecosystem
- Translate BI priorities and business goals into actionable, agile delivery plans for execution by offshore teams
- Collaborate with Architecture, Platform Engineering, and Governance functions to ensure compliance, scalability, and technical alignment
- Champion a product-oriented delivery model and agile methodology across offshore BI teams
- Promote self-service BI through the development of governed, business-friendly data models and semantic layers
- Drive process improvements and tooling enhancements to maximize development efficiency and business impact
Requirements
- Doctorate degree and 3 years of data engineering, science and/or operations experience
- Master’s degree and 5 years of data engineering, science and/or operations experience
- Bachelor’s degree and 7 years of data engineering, science and/or operations experience
- Associate’s degree and 12 years of data engineering, science and/or operations experience
- High school diploma / GED and 14 years of data engineering, science and/or operations experience
- Preferred: 8+ years of experience in data/BI engineering, data operations, or analytics delivery
- Extensive experience with SQL, Python and similar programming languages
- Understanding of best practices in data management, architecture and creating efficient data pipelines
- Demonstrated success in leading offshore or globally distributed technical teams
- Proficiency with BI platforms (Power BI, Tableau, Looker) and cloud-native data ecosystems (Snowflake, Databricks, Azure)
- Experience implementing DevOps practices for BI: version control, CI/CD, monitoring, automation
- Strong cross-functional communication and stakeholder engagement skills
- Exposure to AI/ML integration into BI solutions or operationalizing AI outputs
- Experience in biotechnology, pharmaceutical, or other regulated industry environments
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